{"id":"W2790167383","doi":"10.1109/tuffc.2018.2807699","title":"Compressibility and Density Weighting for Ultrasound Scattering Tomography","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Compressibility; Weighting; Tomography; Scattering; Acoustics; Ultrasound; Physics; Materials science; Optics; Mechanics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005663221,0.0005974862,0.0002459485,0.0005440976,0.0001848103,0.0006142106,0.0005133418,0.0004330769,0.001351923],"category_scores_gemma":[0.002193477,0.0003450452,0.0002242859,0.000578149,0.0004413118,0.000805588,0.0006436878,0.0007418784,0.0004448186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003844374,"about_ca_system_score_gemma":0.00050814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00058173,"about_ca_topic_score_gemma":0.0007287991,"domain_scores_codex":[0.9997432,0.00005892288,0.00001189953,0.00002094744,0.0001537693,0.00001127763],"domain_scores_gemma":[0.9994036,0.0003199592,0.0000786761,0.00007696469,0.00009691216,0.000024029],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002208793,0.00006095381,0.00114993,0.0004428506,0.00003956955,0.0002989099,0.0001707321,0.06840074,0.5107805,0.1037823,0.001042504,0.31361],"study_design_scores_gemma":[0.00001661796,0.0001169616,0.0005814469,0.00003938957,0.00002624725,0.00104395,0.00002848155,0.8237075,0.1484499,0.01276068,0.0131818,0.00004711766],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005785517,0.0005109147,0.9926691,0.00006925968,0.0000179797,0.00002496573,0.00001955333,0.0001942199,0.0007085499],"genre_scores_gemma":[0.09233011,0.001368028,0.9041352,0.0000575019,0.00005382047,0.00008056305,0.00009663445,0.0001673467,0.001710781],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001351923,"threshold_uncertainty_score":0.004522622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007228499751629359,"score_gpt":0.2074317160498253,"score_spread":0.200203216298196,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}